Responsibilities

• Analyze real-world data to identify patterns for clinical and business cases, including treatment patterns and management costs
• Identify key clinical events using CPT, NDC, ICD codes, and structured database free text
• Conduct statistical analysis and survival modeling for clinical events defined from real-world data
• Visualize findings and summarize them into coherent stories
• Support data scientists in developing digital pathology AI models
• Partner with bioinformaticians, statisticians, and medical experts on manuscripts

Requirements

• PhD in Statistics, Data Science, or equivalent field, or Master's with 4+ years of relevant post-graduate experience
• Experience working with real-world data from insurance claims and EHR records
• Expert proficiency in SQL and R
• Strong skills in data clean‑up, manipulation, and visualization using tidyverse and...